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Nutrients and Other Environmental Factors Influence Virus Abundances across Oxic and Hypoxic Marine Environments

机译:营养物质和其他环境因素影响整个有氧和低氧海洋环境中病毒的丰度

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摘要

Virus particles are highly abundant in seawater and, on average, outnumber microbial cells approximately 10-fold at the surface and 16-fold in deeper waters; yet, this relationship varies across environments. Here, we examine the influence of a suite of environmental variables, including nutrient concentrations, salinity and temperature, on the relationship between the abundances of viruses and prokaryotes over a broad range of spatial and temporal scales, including along a track from the Northwest Atlantic to the Northeast Pacific via the Arctic Ocean, and in the coastal waters of British Columbia, Canada. Models of varying complexity were tested and compared for best fit with the Akaike Information Criterion, and revealed that nitrogen and phosphorus concentrations, as well as prokaryote abundances, either individually or combined, had significant effects on viral abundances in all but hypoxic environments, which were only explained by a combination of physical and chemical factors. Nonetheless, multivariate models of environmental variables showed high explanatory power, matching or surpassing that of prokaryote abundance alone. Incorporating both environmental variables and prokaryote abundances into multivariate models significantly improved the explanatory power of the models, except in hypoxic environments. These findings demonstrate that environmental factors could be as important as, or even more important than, prokaryote abundance in describing viral abundance across wide-ranging marine environments.
机译:海水中的病毒颗粒非常丰富,平均而言,其表面的微生物细胞数量大约是其十倍,而在深水域中则为十六倍。但是,这种关系在不同的环境中会有所不同。在这里,我们研究了一系列环境变量(包括营养物浓度,盐度和温度)对各种时空尺度上病毒和原核生物丰度之间关系的影响,包括从西北大西洋到北大西洋沿一条轨道通过北冰洋在东北太平洋以及加拿大不列颠哥伦比亚省的沿海水域。测试了各种复杂程度的模型,并与Akaike信息准则进行了比较,以使其最合适,结果表明,氮和磷的浓度以及原核生物的丰度,无论是单独还是组合,都对除低氧环境以外的所有环境中的病毒丰度具有显着影响。仅由物理和化学因素共同解释。但是,环境变量的多元模型显示出很高的解释能力,仅与原核生物的丰度相比就具有甚至超过了这些解释能力。除了在低氧环境中,将环境变量和原核生物丰度都纳入多变量模型可以大大提高模型的解释能力。这些发现表明,在描述广泛的海洋环境中,环境因素可能与原核生物的丰度一样重要,甚至比原核生物的丰度更为重要。

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